3 Healthcare Analytics jobs in the United Kingdom
Senior Data Scientist - Healthcare Analytics
NE1 4YB Newcastle upon Tyne, North East
£60000 Annually
WhatJobs
Posted 17 days ago
Job Viewed
Job Description
Our client, a leading innovator in health-tech solutions, is looking for an exceptional Senior Data Scientist to join their fully remote team. This role is crucial for driving insights from vast healthcare datasets, enabling better patient care, operational efficiency, and strategic decision-making. You will be responsible for developing advanced statistical models, machine learning algorithms, and predictive analytics to uncover trends, identify risk factors, and optimize treatment pathways. The ideal candidate will possess a strong mathematical and statistical foundation, coupled with expert-level proficiency in data manipulation, modelling, and visualization tools. You will work collaboratively with clinicians, data engineers, and product managers to translate complex data findings into actionable recommendations. This position offers the opportunity to make a significant impact on public health through cutting-edge data science.
Key responsibilities include:
The ideal candidate will hold a Master's or PhD in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field. You must have at least 5 years of experience as a Data Scientist, with a proven track record in healthcare analytics or a closely related domain. Expertise in Python or R, along with relevant data science libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas), is essential. Strong SQL skills and experience with cloud platforms (e.g., AWS, Azure, GCP) are highly desirable. Excellent analytical, problem-solving, and communication skills are paramount for this role. The ability to work autonomously and proactively in a remote setting is a key requirement.
Key responsibilities include:
- Designing, developing, and implementing advanced statistical models and machine learning algorithms for healthcare data analysis.
- Exploring and analyzing large, complex datasets to identify patterns, trends, and anomalies.
- Developing predictive models for patient outcomes, disease progression, and resource allocation.
- Collaborating with data engineers to ensure data quality, accessibility, and efficient processing.
- Communicating complex analytical findings clearly and effectively to both technical and non-technical stakeholders through reports and presentations.
- Staying current with the latest advancements in data science, machine learning, and healthcare analytics.
- Mentoring junior data scientists and contributing to the team's knowledge base.
- Ensuring data privacy and security compliance in all analytical activities.
- Validating model performance and deploying models into production environments.
The ideal candidate will hold a Master's or PhD in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field. You must have at least 5 years of experience as a Data Scientist, with a proven track record in healthcare analytics or a closely related domain. Expertise in Python or R, along with relevant data science libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas), is essential. Strong SQL skills and experience with cloud platforms (e.g., AWS, Azure, GCP) are highly desirable. Excellent analytical, problem-solving, and communication skills are paramount for this role. The ability to work autonomously and proactively in a remote setting is a key requirement.
This advertiser has chosen not to accept applicants from your region.
0
Senior AI/ML Engineer - Healthcare Analytics
OX1 1AA Oxford, South East
£75000 Annually
WhatJobs
Posted 5 days ago
Job Viewed
Job Description
Our client, a pioneering healthcare technology firm, is looking for an exceptional Senior AI/ML Engineer to drive innovation in healthcare analytics. This is a fully remote position, enabling you to contribute your expertise from anywhere within the UK. You will be instrumental in developing and deploying advanced machine learning models to improve patient outcomes and streamline healthcare operations.
Responsibilities:
Responsibilities:
- Design, develop, and implement state-of-the-art machine learning models for healthcare applications, including predictive diagnostics, treatment optimization, and patient risk stratification.
- Process, clean, and analyze large, complex healthcare datasets, ensuring data integrity and privacy compliance (e.g., GDPR, HIPAA).
- Collaborate with healthcare professionals, data scientists, and software engineers to understand clinical needs and translate them into data-driven solutions.
- Build and maintain robust data pipelines and ML infrastructure, leveraging cloud platforms (e.g., AWS, Azure, GCP).
- Conduct thorough model evaluation, validation, and A/B testing to ensure performance, reliability, and ethical considerations.
- Stay current with the latest research and advancements in AI/ML, particularly in the healthcare domain, and apply them to practical problems.
- Develop and implement strategies for model deployment, monitoring, and continuous improvement in production environments.
- Mentor junior engineers and contribute to the knowledge sharing within the AI/ML team in a remote setting.
- Document technical designs, methodologies, and findings clearly and comprehensively.
- Contribute to the strategic roadmap for AI/ML initiatives within the organization.
- M.S. or Ph.D. in Computer Science, Machine Learning, Statistics, or a related quantitative field.
- 5+ years of hands-on experience in developing and deploying ML models in production, preferably in the healthcare or life sciences sector.
- Strong proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Keras).
- Experience with cloud platforms (AWS, Azure, GCP) and associated ML services.
- Deep understanding of various ML algorithms, statistical modeling techniques, and data mining principles.
- Experience handling large-scale datasets and implementing data processing pipelines.
- Excellent problem-solving skills and the ability to think critically about complex challenges.
- Strong communication and collaboration skills, essential for effective remote teamwork.
- Familiarity with healthcare data standards (e.g., HL7, FHIR) and regulations is a significant advantage.
- A passion for leveraging technology to improve healthcare.
This advertiser has chosen not to accept applicants from your region.
1
Remote Clinical Data Manager - Healthcare Analytics
WA1 1AB Liverpool, North West
£50000 Annually
WhatJobs
Posted 24 days ago
Job Viewed
Job Description
Our client, a rapidly growing healthcare analytics firm, is looking for a dedicated and meticulous Remote Clinical Data Manager. This is a 100% remote position, allowing you to contribute to vital healthcare initiatives from the comfort of your home. You will be responsible for managing and overseeing the collection, quality, and integrity of clinical trial data, ensuring compliance with regulatory standards and company SOPs. Key responsibilities include designing case report forms (CRFs), developing data management plans, setting up databases, performing data validation checks, and resolving data queries in a timely manner. You will work closely with clinical research associates, statisticians, and investigators to ensure data accuracy and consistency throughout the trial lifecycle. Experience with various Electronic Data Capture (EDC) systems and a strong understanding of clinical trial processes are essential. The ideal candidate will possess a Bachelor's degree in a scientific or healthcare-related field, coupled with proven experience in clinical data management. Excellent attention to detail, strong organizational skills, and proficiency in data analysis and reporting tools are required. You must be adept at working independently, managing multiple projects, and communicating effectively within a virtual team. This role is crucial for supporting our mission to improve patient outcomes through data-driven insights, offering a rewarding career in a dynamic, remote-first work environment.
This advertiser has chosen not to accept applicants from your region.
Be The First To Know
About the latest Healthcare analytics Jobs in United Kingdom !
2